Edge Impulse

At Hardware Pioneers Max 2024, Edge Impulse's Amir Sherman talked with ipXchange about NVIDIA TAO and NVIDIA Omniverse, two AI tools that have enabled Edge Impulse’s customers to run #GPU-level #edgeAI workloads on low-cost, low-power general-purpose microcontrollers. "In short, Edge Impulse enables you to train AI models even when you don’t have access to real-world data and deploy them at the edge, thanks to NVIDIA Omniverse." Watch the video and read the accompanying article from ipXchange: https://lnkd.in/gDY6vfb8

Got a minute and a GitHub account? Help support AI education this weekend with a quick like of the new "Machine Learning Systems" book page, from professor Vijay Janapa Reddi. For every 25 GitHub stars the project receives, Arduino and Seeed Studio will generously donate a NiclaVision or XIAO ESP32S3 hardware kit (both supported by Edge Impulse) to university programs to further AI/ML education. They're closing in on their goal of 1000 stars. Simply click the star in the top right corner on this link. That's it! https://lnkd.in/gQfCZ5GC #ai #edgeAI

The combined efforts of Renesas Electronics Syntiant Corp. Avnet and Edge Impulse make creating and deploying machine learning models quick and easy. 🤝 Learn how the Avnet RaSynBoard allows for low-power inference at the edge, in the webinar recording below. #EdgeAI #MCU #Innovation

Overview of our new feature that lets users generate LLM-based data (synthetic images, audio, and/or voice) and add to their datasets in Edge Impulse. Thanks for the piece, Edge Industry Review! https://lnkd.in/gTMT-rFa #AI #edgeAI #LLM

We're #hiring a new Senior Solutions Engineer (Post-Sales) in United Kingdom. Apply today or share this post with your network.

Bring the power of NVIDIA AI TAO models from GPUs to microcontrollers with Edge Impulse. This interview with Amir Sherman is a great overview of how we can take computer vision models and shrink them down to fit on MCUs, enabling low-power inference on inexpensive devices. #EdgeAI #MachineLearning #Nvidia #AI

Get your free Edge AI Certificate like Spencer Huang and Veronica Lobkina! 🙌 Give a quick watch for more detail on the course, and the link to register. #EdgeAI #MachineLearning

Train your ESP32-CAM module to detect any object using Edge Impulse Video: https://lnkd.in/gsBc8Fd5 Tutorial:https://lnkd.in/gimBinTP Here is our latest tutorial under the AI Projects section on CircuitDigest. We have provided complete information on how you can use the ESP32 cam module and Edge Impulse for image recognition Espressif Systems Julie Fishman, MBA Nick Bild #esp32 #AI #ML #machinelearning #objectrecognition #objectdetection #imagerecogniton #EE #circuitdigest #electronics #learneveryday #learnAI #learnML #edgeimpulse

With the power of Nvidia Omniverse virtual environments and Edge Impulse, engineers can rapidly add photo-realistic training images to computer vision datasets.  Learn how to quickly augment your machine learning projects with synthetic data generated in Omniverse, here: https://lnkd.in/gx3kwBCD NVIDIA AI NVIDIA Omniverse #MachineLearning

Hey folks - I'm psyched for our new reboot of the tinyML Talks series - which I consider to be the "double black diamond" of edge AI tech talks :) The platform has been upgraded to Streamyard, we're live streaming here on LinkedIn but also YouTube, Instagram - and even Twitch! Join Jenny Plunkett from Edge Impulse and I as we co-host Chris Knorowski from SensiML Corp on this epic discussion (with live Q&A) on the hot topic of building, training and deploying #AImodels to the very #edge - especially challenging as the edge gets super tiny. Chris will dig into their new Piccolo AI offering, which is an open source toolset for edge #MLOps. Have an idea for a topic you'd like to see? Email us at talks@tinyml.org and join the discussion on our discord channel at https://lnkd.in/gRCJDiVC Share, subscribe and I will see you there. . .